In vitro assessment of antibacterial and antiviral activity of three copper products after 200 rounds of simulated use.

Copper has well-documented antibacterial effects but few have evaluated it after prolonged use and against bacteria and viruses. Coupons from three copper formulations (solid, thermal coating, and decal applications) and carbon steel controls were subjected to 200 rounds simulated cleaning using a Wiperator™ and either an accelerated hydrogen peroxide, quaternary ammonium, or artificial sweat products. Antibacterial activity against S. aureus and P. aeruginosa was then evaluated using a modified Environmental Protection Agency protocol. Antiviral activity against coronavirus (229E) and norovirus (MNV-1) surrogates was assessed using the TCID50 method. Results were compared to untreated control coupons. One hour after inoculation, S. aureus exhibited a difference in log kill of 1.16 to 4.87 and P. aeruginosa a log kill difference of 3.39-5.23 (dependent upon copper product and disinfectant) compared to carbon steel. MNV-1 demonstrated an 87-99% reduction on each copper surfaces at 1 h and 99% reduction at 2 h compared to carbon steel. Similarly, coronavirus 229E exhibited a 97-99% reduction after 1 h and 90-99% after 2 h. Simulated use with artificial sweat did not hinder the antiviral nor the antibacterial activity of Cu surfaces. Self-sanitizing copper surfaces maintained antibacterial and antiviral activity after 200 rounds of simulated cleaning.

Texas tobacco quitline knowledge, attitudes, and practices within healthcare agencies serving individuals with behavioral health needs: A multimethod study.

Patients with behavioral health conditions have disproportionately high tobacco use rates and face significant barriers to accessing evidence-based tobacco cessation services. Tobacco quitlines are an effective and accessible resource, yet they are often underutilized. We identify knowledge, practices, and attitudes towards the Texas Tobacco Quitline (TTQL) within behavioral healthcare settings in Texas. Quantitative and qualitative data were collected in 2021 as part of a statewide needs assessment in behavioral healthcare settings. Survey respondents (n = 125) represented 23 Federally Qualified Health Centers, 29 local mental health authorities (LMHAs), 12 substance use treatment programs in LMHAs, and 61 standalone substance use treatment centers (26 people participated in qualitative interviews). Over half of respondents indicated familiarity with the TTQL and believed that the TTQL was helpful for quitting. Qualitative findings reveal potential concerns about inconsistency of services, long wait time, and the format of the quitline. About half of respondents indicated that their center promoted patient referral to TTQL, and few indicated that their center had an electronic referral system with direct TTQL referral capacity. Interview respondents reported overall lack of systematic follow up with patients regarding their use of the TTQL services. Findings suggest the need for (1) increased TTQL service awareness among healthcare providers; (2) further investigation into any changes needed to better serve patients with behavioral health conditions who use tobacco; and (3) electronic health record integration supporting direct referrals and enhanced protocols to support patient follow up after TTQL referral.

Behavioral health care provider's beliefs, confidence, and knowledge in treating cigarette smoking in relation to their use of the 5A's intervention.

Introduction: Evidence-based smoking cessation interventions are underused settings where behavioral health treatment is provided, contributing to smoking-related health disparities in this patient group. This study assessed the relationship of provider's beliefs about patients' smoking, perceptions of treatment capability, and knowledge of referral options and their use of the 5A's (Ask, Advise, Assess, Assist, and Arrange) intervention for smoking cessation. Methods: Surveys were collected from providers in healthcare settings in Texas where patients receive behavioral health care (N = 86; 9 federally qualified health centers, 16 Local Mental Health Authorities (LMHAs), 6 substance use treatment programs in LMHAs, and 55 stand-alone substance use treatment centers). Logistic regression analyses were used to assess the association between provider's beliefs about patients' concern and desire to quit smoking; perceptions of their confidence, skills, and effectiveness in treating smoking; their knowledge of referral options; and their use of the 5A's with patients who smoked. Results: Providers who believed that patients were concerned about smoking and wanted to quit; who perceived themselves as confident in providing cessation care, having the required skills, and being effective in providing advice; and/or who had greater referral knowledge were more likely to use the 5A's with patients who smoked than their (respective) provider counterparts (ps < 0.05). Conclusion: Provider-level constructs affect their 5A's provision for patients with behavioral health needs. Future work should train providers to correct misconceptions about patients' interest in quitting, bolster their confidence, and provide referral options to support tobacco provision efforts.

Cracking the code: The keys to a successful business impact analysis.

The business impact analysis (BIA) is a major component of risk management and business continuity planning. It is the process of assessing the impact over time of a disruption on the organisation's people, products, services, and to its customers. This paper offers guidance on establishing and completing a comprehensive BIA that represents the organisation, department or process to achieve compliance and, ultimately, resilience. To remain competitive, organisations must examine and adapt their BIAs when circumstances change, whether internally or externally. This paper provides a formula to ensure the BIA is developed methodically. By considering organisational culture and standards, internal and external assessment requirements, and standardised analysis calculations, the organisation will create a BIA that closely reflects its environment and yet still provides scope for improvement. The paper also considers metrics and planning activities to support BIA design. By following this guidance in this paper, organisations will be better able to crack the BIA code and take a value-added approach to business continuity planning.

Providers' Non-Cigarette Tobacco Use Intervention Practices in Relation to Beliefs about Patients, Prioritization of and Skills for Intervention, and Referral Knowledge in Texas Healthcare Centers Providing Care to Persons with Behavioral Health Needs.

Rates of non-cigarette (colloquially, other) tobacco use is elevated among adults with behavioral health conditions. Little is known about whether behavioral health providers are using brief interventions, including the evidence-based 5As (Ask, Advise, Assess, Assist, and Arrange) for other tobacco use, or what provider factors may be associated with use of these interventions. The current study redressed this gap. Overall, 86 providers in Texas (9 Federally Qualified Health Centers, 16 Local Mental Health Authorities (LMHAs) that provide a broad range of mental and behavioral health services, 6 substance use treatment programs in LMHAs, and 55 stand-alone substance use treatment programs) took a survey assessing their beliefs regarding (1) patients' concerns about other tobacco use; (2) their desire to quit; (3) importance of intervening on other tobacco use with cessation counseling; (4) perceived skills to intervene; (5) knowledge of referral options for treatment. Logistic regression analyses were conducted to determine the association between each factor and use of the 5As. Results showed that 70.9% of providers asked patients about other tobacco use status, 65.1% advised them to quit, 59.3% assessed quit interest, 54.7% assisted with a quit attempt, and 31.4% arranged a follow-up. Providers who believed patients were concerned about other tobacco use, recognized the importance of offering other tobacco use cessation counseling, believed they had the necessary skills to treat other tobacco use, and possessed knowledge of referral options, respectively, were more likely to deliver the 5As (ps < 0.05). Results add to a limited literature on provider intervention practices for other tobacco use in settings where behavioral health care is provided, highlighting the significance of provider beliefs, perceived skills, and referral knowledge to care delivery. Findings reveal opportunities to increase delivery of the 5As for other tobacco use to behavioral health patients and suggest provider factors that could be targeted to build this capacity.

Organizational Characteristics and Readiness for Tobacco-Free Workplace Program Implementation Moderates Changes in Clinician's Delivery of Smoking Interventions within Behavioral Health Treatment Clinics.

BACKGROUND: Smoking is elevated amongst individuals with behavioral health disorders, but not commonly addressed. Taking Texas Tobacco Free is an evidence-based, tobacco-free workplace program that addresses this, in-part, by providing clinician training to treat tobacco use in local mental health authorities (LMHAs). This study examined organizational moderators of change in intervention delivery from pre- to post-program implementation. METHODS: LMHA leaders completed the Organizational Readiness for Implementing Change (ORIC) and provided organization demographics pre-implementation. Clinicians (N = 1237) were anonymously surveyed about their consistent use of the 5As (Asking about smoking; Advising clientele to quit; Assessing willingness to quit; Assisting them to quit; Arranging follow-up) pre- and post-program implementation. Adjusted generalized linear mixed models were used for analyses (responses nested within LMHAs), with interaction terms used to assess moderation effects. RESULTS: Clinician delivery of 5As increased pre- to post-implementation (p < .001). LMHAs with fewer employees (ref = ≤300) demonstrated greater increases in Asking, Assessing, and Assisting over time. LMHAs with fewer patients (ref = ≤10 000) evinced greater changes in Asking over time. Less initial ORIC Change Efficacy, Change Commitment, and Task Knowledge were each associated with greater pre- to post-implementation changes in Asking. Less initial Task Knowledge was associated with greater increases in Advising, Assessing, and Assisting. Finally, less initial Resource Availability was associated with greater increases in Assisting (all moderation term ps < .025). CONCLUSION: The smallest and least ready LMHAs showed the largest gains in tobacco cessation intervention delivery; thus, low initial readiness was not a barrier for program implementation, particularly when efficacy-building training and resources are provided. IMPLICATIONS: This study examined organizational moderators of increases in tobacco cessation treatment delivery over time following the implementation of a comprehensive tobacco-free workplace program within 20 of 39 LMHAs across Texas (hundreds of clinics; servicing >50% of the state) from 2013 to 2018. Overall, LMHAs with fewer employees and patients, and that demonstrated the least initial readiness for change, evinced greater gains in intervention delivery. Findings add to dissemination and implementation science by supporting that low initial readiness was not a barrier for this aspect of tobacco-free workplace program implementation when resources and clinician training sessions were provided.

Addressing Tobacco Use Among Consumers and Staff at Behavioral Health Treatment Facilities Through Comprehensive Workplace Programming.

Tobacco use is the leading cause of death and disability in the United States; cigarette smoking is the most common form of tobacco use. Smoking has become increasingly concentrated among individuals with behavioral health needs (e.g., persistent mental illness) and has led to increased morbidity and mortality in this group relative to the general population. Comprehensive tobacco-free workplace programs are effective in reducing tobacco use and cigarette smoke exposure among behavioral health consumers and the individuals who serve them. Taking Texas Tobacco-Free (TTTF) represents an academic-community partnership formed to address tobacco use among consumers and employees at behavioral health clinics across Texas via the dissemination of an evidence-based, multicomponent tobacco-free workplace program. Program components of TTTF include tobacco-free campus policy implementation and enforcement, staff education about tobacco use hazards, provider training to regularly screen for and address tobacco dependence via intervention, and community outreach. These components, the nature of the academic-community partnership, the process of behavioral health facility involvement and engagement, and the benefits and challenges of implementation from the perspectives of the project team and participating clinic leaders are described. This information can guide similar academic and community partnerships and inform the implementation of other statewide tobacco-free workplace programming.

Discharge delay, room for improvement?

AIM: Patients treated in the intensive care unit (ICU) and identified as suitable for discharge to the ward should have their discharge planned and expedited to improve patient outcomes and manage resources efficiently. We examined the hypothesis that the introduction of a critical care outreach role would decrease the frequency of discharge delay from ICU. METHODS: Discharge delay was compared for two 6-month periods: (1) after introduction of the outreach role in 2008 and (2) in 2000/2001 (from an earlier study). Patients were included if discharged to a ward in the study hospital. Discharge times and reason for delay were collected by Critical Care Outreach Nurses and Critical Care Nurse Specialists. RESULTS: Of the 516 discharges in 2008 (488 patients compared to 607 in 2000/2001), 31% of the discharges were delayed from ICU more than 8h, an increase of 6% from 2000/2001 (p<0.001). Patients in 2008 spent more in hospital from the time of their ICU admission when their discharge was delayed (p<0.001). The most common reasons for delay in 2008 were due to no bed or delay in bed availability (53%) and medical concern (24%). This is in contrast to 2000/2001 when 80% of delays were due to no bed or delay in bed availability and 9% due to medical concern. Many factors impact on patient flow and reducing ICU discharge delays requires a collaborative, multi-factorial approach which adapts to changing organisational policy on patient flow through ICU and the hospital, not just the discharge process in ICU.

Beyond the walls: a review of ICU clinics and their impact on patient outcomes after leaving hospital.

INTRODUCTION: Patients often experience physical disability, neurocognitive and/or psychological impairment after surviving ICU. The burden arising from critical illness on patients, their families and health services may be substantial. Follow-up of these patients is important and ICU clinics have been introduced for this purpose. AIM: The aim of this review was to consider current research and reports from the literature about ICU follow-up clinics and their impact on patient outcomes for those who survived hospital after suffering critical illness. METHOD: The literature review included searches of the MEDLINE, EMBASE, and CINAHL databases. Studies were included if they described the setting up and conduct of the ICU follow-up clinic that required a visit to the clinic. RESULTS: Seven studies met the inclusion criteria, six of which were from the UK. The ICU follow-up clinics were predominantly nurse-led. There was no consensus on patient selection criteria for clinic attendance or method of follow-up. Clinic services were most often offered to patients who stayed in ICU three or more days. Attendance rates varied and were not reported for three studies. Attendance appeared to be influenced by the severity of illness. Cancellation and non-attendance rates were high for those studies reporting these data. Patients who did not live within the vicinity of the hospital were often excluded. Information about the sequelae of critical illness was provided and attendees were happy to discuss their experiences at the clinic. However, other important outcomes were not reported. CONCLUSION: Appropriate follow-up for survivors of intensive care and their family is important. However, evidence is limited on the benefit of ICU clinics for patients recovering from critical illness. Further research is needed to examine models that best meet patient needs after critical care.

Long-term survival from intensive care: a review.

OBJECTIVE: To determine whether the long-term benefit of an ICU requires prolonged patient follow-up we reviewed long-term survival of patients from general ICUs. METHOD: We carried out a computerised search of online databases Medline (1966-2004), Embase (1966-2004) and Cochrane Library (1966-2004) for studies reporting patients' long-term survival for greater than 12 months from general ICUs. SELECTED STUDIES: We identified 19 studies that met the selection criteria. The casemix and severity of illness varied. Differences included the services provided, investigator inclusion/exclusion criteria and proportion of medical patients (range 13-79%). RESULTS: Mean reported ICU length of stay was 5.3 days. The study initiation time for follow-up varied (mostly from time of ICU admission), as did the duration of follow-up (16 months-13 years). ICU and hospital mortality rates ranged from 8% to 33% and 11% to 64%, respectively. The reported 5-year mortality ranged from 40% to 58%. CONCLUSIONS: Well designed studies on long-term outcomes are needed to demonstrate the value of intensive care. Deficiencies in design, methodology, and reporting make interpretation and comparison difficult. Recommendations are made for the reporting of outcome from the ICU. Optimum duration of follow-up has not been determined.